Run
504054

Run 504054

Task 1702 (Learning Curve) kr-vs-kp Uploaded 30-12-2015 by Joaquin Vanschoren
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Flow

weka.Winnow(4)N. Littlestone (1988). Learning quickly when irrelevant attributes are abound: A new linear threshold algorithm. Machine Learning. 2:285-318. N. Littlestone (1989). Mistake bounds and logarithmic linear-threshold learning algorithms. University of California, Santa Cruz.
weka.Winnow(4)_I1
weka.Winnow(4)_A2.0
weka.Winnow(4)_B0.5
weka.Winnow(4)_H-1.0
weka.Winnow(4)_W2.0
weka.Winnow(4)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.5802 ± 0.081
Per class
F measure
0.5767 ± 0.0843
Per class
Kappa
0.1623 ± 0.158
KB relative information score
548.4694 ± 40.9809
Mean absolute error
0.413 ± 0.064
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5885 ± 0.0502
Per class
Predictive accuracy
0.587 ± 0.064
Prior entropy
0.9986
Recall
0.587 ± 0.064
Per class
Relative absolute error
0.8277 ± 0.1284
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.6427 ± 0.0501
Root relative squared error
1.2866 ± 0.1003
SciMark benchmark
929.0201
UserCPU time millis
10
UserCPU time millis training
10